MAAS / WEEKLY
DAILY DIFF · SIGNAL FEED

每日动态

自动抓取 16 个平台 + 行业信源，与上一次快照逐行对比，展示模型列表、定价页与更新日志的增量变化。数据每天更新。

最新

2026-09-04

成功 61变化 21失败 6共 67 个信源
火山方舟定价+1 / -5来源 ↗
最近更新时间：2026.09.03 21:38:27
新增 1 行
  • 最近更新时间：2026.09.03 21:38:27
删除 5 行
  • SDK 升级与使用说明
  • 最近更新时间：2026.08.28 00:06:09
  • 知识型视频智能问答解决方案
  • 视频高光提取及检索解决方案
  • 音视频知识问答核心流程
火山方舟更新日志+2 / -0来源 ↗
Computer Use Agent 服务规则
新增 2 行
  • Computer Use Agent 服务规则
  • 用量明细 CSV 解析最佳实践
硅基流动定价+3 / -4来源 ↗
-展开更多 2 个模型
新增 3 行
  • -展开更多 2 个模型
  • Z-aideepseek-aimeituan-longcatKiminex-agiMiniMaxAITongyi-MAIBaiduQwenStepfun-aiinclusionAIChinaTelecomhunyuanByteDanceWanopenmossFunAudioLLMBAAIKolors
  • zai-org/GLM-5.3
删除 4 行
  • -展开更多 1 个模型
  • GLM-Z1-9B-0414
  • THUDM/GLM-Z1-9B-0414
  • deepseek-aimeituan-longcatZ-aiKiminex-agiMiniMaxAITongyi-MAIBaiduQwenStepfun-aiinclusionAIChinaTelecomhunyuanByteDanceWanopenmossFunAudioLLMBAAIKolors
硅基流动更新日志+7 / -1来源 ↗
MiniMaxAI/MiniMax-M2.5
新增 7 行
  • MiniMaxAI/MiniMax-M2.5
  • Pro/MiniMaxAI/MiniMax-M2.5
  • Qwen/Qwen3.5-397B-A17B
  • nex-agi/Nex-N2-Pro
  • 【模型服务调整】Nex-N2-Pro、Qwen3.5-397B-A17B、MiniMax-M2.5 等模型将下线
  • 【模型服务调整】Nex-N2-Pro、Qwen3.5-397B-A17B、MiniMax-M2.5 等模型将下线【模型价格调整】DeepSeek-V4-Flash 模型分时段定价调整【接口服务调整】/user/info 接口将停止服务【模型价格调整】DeepSeek-V4-Pro 缓存命中输入 tokens 价格调整【模型价格调整】Nex-N2-Pro、DeepSeek-V4-Pro、DeepSeek-V3.2、Qwen3.6 模型价格
  • 为进一步优化资源配置，提供更先进、优质的技术服务，平台将于 2026-09-11 对下列模型进行下线处理：
删除 1 行
  • 【模型价格调整】DeepSeek-V4-Flash 模型分时段定价调整【接口服务调整】/user/info 接口将停止服务【模型价格调整】DeepSeek-V4-Pro 缓存命中输入 tokens 价格调整【模型价格调整】Nex-N2-Pro、DeepSeek-V4-Pro、DeepSeek-V3.2、Qwen3.6 模型价格调整【模型服务调整】GLM-4.7、Kimi-K2.5 等模型将下线【模型服务调整】Kimi-K2、GLM-4.
OpenAI模型列表+16 / -4来源 ↗
$10 / Input MTok
新增 16 行
  • $10 / Input MTok
  • $50 / Output MTok
  • Apr 30, 2026
  • Async tool calling
  • Compare model capabilities and specifications.
  • GPT-6 Astra
  • GPT‑6 Astra is rolling out today for enterprises in our Trusted Access Program⁠, with access through API and our Plus, Pro, Business and Enterprise plans coming in the coming days.
  • If you're not sure where to start, use GPT-6 Astra, our flagship model for complex reasoning and coding. Choose GPT-5.6 Terra to balance intelligence and cost, or GPT-5.6 Luna for cost-sensitive, high-volume workloads.
  • Mid-turn steering
  • Misalignment monitoring
  • Our most capable model, built for the hardest end-to-end work
  • Safety classifiers
  • Under-18 guidance
  • Using GPT-6 Astra
  • gpt-6-astra
删除 4 行
  • If you're not sure where to start, use GPT-5.6 Sol, our flagship model for complex reasoning and coding. Choose GPT-5.6 Terra to balance intelligence and cost, or GPT-5.6 Luna for cost-sensitive, high-volume workloads.
  • Start with GPT-5.6 Sol for complex reasoning and coding, choose GPT-5.6 Terra to balance intelligence and cost, or use GPT-5.6 Luna for cost-sensitive, high-volume workloads.
  • Under 18 API Guidance
  • Using GPT-5.6
OpenAI定价+11 / -2来源 ↗
Async tool calling
新增 11 行
  • Async tool calling
  • Fast mode is unavailable for GPT-6 Astra with EU data residency. Use Standard processing for those requests. See Fast mode compatibility.
  • GPT‑6 Astra is rolling out today for enterprises in our Trusted Access Program⁠, with access through API and our Plus, Pro, Business and Enterprise plans coming in the coming days.
  • Mid-turn steering
  • Misalignment monitoring
  • Safety classifiers
  • Under-18 guidance
  • Using GPT-6 Astra
  • | gpt-6-astra | $10.00 | $1.00 | $12.50 | $50.00 | $20.00 | $2.00 | $25.00 | $75.00
  • | gpt-6-astra | $20.00 | $2.00 | $25.00 | $100.00 | $40.00 | $4.00 | $50.00 | $150.00
  • | gpt-6-astra | $5.00 | $0.50 | $6.25 | $25.00 | $10.00 | $1.00 | $12.50 | $37.50
删除 2 行
  • Under 18 API Guidance
  • Using GPT-5.6
OpenAI更新日志+23 / -2来源 ↗
Added new controls for long-running work with GPT-6 Astra in the Responses API:
新增 23 行
  • Added new controls for long-running work with GPT-6 Astra in the Responses API:
  • Async tool calling
  • Async tool calling: Let the model continue working while your application runs function or custom tools, then return results as they become available.
  • Change reasoning effort mid-conversation: Increase effort for difficult work or reduce it for routine follow-ups while preserving the cached prompt prefix.
  • Connections to api.openai.com can now use IPv6.
  • GPT-6 Astra does not support custom temperature or top_p values or log probabilities (logprobs).
  • GPT-6 Astra does not support the none reasoning effort level.
  • Key changes to consider when migrating:
  • Mid-turn steering
  • Mid-turn steering: Send additional instructions while a response is in progress over WebSockets, so the model can incorporate corrections or changing requirements.
  • Misalignment monitoring
  • Misalignment monitoring asynchronously checks for potential issues during agent work in supported Responses API requests. Checks can trigger safety alerts or stop a conversation for review.
  • Released GPT-6 Astra, our most capable model, built for the hardest end-to-end work.
  • Safety classifiers
  • September, 2026
删除 2 行
  • Under 18 API Guidance
  • Using GPT-5.6
Anthropic模型列表+1 / -1来源 ↗
| Show all details
新增 1 行
  • | Show all details
删除 1 行
  • | Show all detailsShow fewer details
Anthropic更新日志+2 / -1来源 ↗
Text generated by Claude Fable 5.1 and Claude Mythos 5.1 carries Anthropic's text watermark, and supported image, video,…
新增 2 行
  • Text generated by Claude Fable 5.1 and Claude Mythos 5.1 carries Anthropic's text watermark, and supported image, video, and audio files that Claude produces through the code execution tool carry C2PA Content Credentials
  • The guides for the Claude Enterprise endpoints of the Admin API (user management and spend limits), the Claude Enterprise Analytics API, and the Compliance API now show the anthropic-version header; send it on every requ
删除 1 行
  • Text generated by Claude Fable 5.1 and Claude Mythos 5.1 carries Anthropic's text watermark, and supported image and video files that Claude produces through the code execution tool carry C2PA Content Credentials when yo
Anthropic博客+1 / -1来源 ↗
Jul 30, 2026AnnouncementsInvestigating three real-world incidents in our cybersecurity evaluations
新增 1 行
  • Jul 30, 2026AnnouncementsInvestigating three real-world incidents in our cybersecurity evaluations
删除 1 行
  • Jul 30, 2026Investigating three real-world incidents in our cybersecurity evaluations
Google Gemini API博客+1 / -1来源 ↗
5 amazing visuals show how the male fruit fly’s brain map is advancing neuroscience
新增 1 行
  • 5 amazing visuals show how the male fruit fly’s brain map is advancing neuroscience
删除 1 行
  • AMIE, our research medical AI system, demonstrates real-time clinical video consultation capabilities in a first-of-its-kind study.
Google Vertex AI模型列表+7 / -4来源 ↗
Built for long-horizon coding and autonomous agents
新增 7 行
  • Built for long-horizon coding and autonomous agents
  • Gemini 3.8 Flash
  • Improved response quality
  • Last updated 2026-09-02 UTC.
  • Our intelligent everyday driver for developers, delivering a step forward in software engineering and feeling distinctly better to build with.
  • Our most intelligent workhorse model yet, built for long-horizon coding and autonomous agents.
  • [[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or
删除 4 行
  • Enhanced efficiency and practical reasoning, helping you build and iterate with greater ease
  • Greater token efficiency
  • Last updated 2026-09-01 UTC.
  • [[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or
Google Vertex AI定价+34 / -10来源 ↗
$0.000001 |
新增 30 行
  • $0.000001 |
  • $2.00 / 1M tokens |
  • * Billing is based on total input and output audio token consumption, calculated at a rate of 25 tokens per second of audio.
  • 50% Promotional Credits on Gemini 3.8 Flash, Gemini 3.7 Flash and Gemini 3.6 Flash Provisioned Throughput Usage
  • Audio Input | $3.50 / 1,000,000 count
  • Audio Output | $21.00 / 1,000,000 count
  • Claude Fable 5.1 |
  • Effective August 13, 2026 through December 31, 2026, Google Cloud is injecting a monthly billing credit equal to 50% of net eligible Provisioned Throughput spending on Gemini 3.8 Flash, Gemini 3.7 Flash, and Gemini 3.6 F
  • Gemini 3.5 Live Translate
  • Gemini 3.5 Live Translate |
  • Gemini 3.8 Flash
  • Gemini 3.8 Flash*
  • Gemini 3.8 Flash, Gemini 3.7 Flash, Gemini 3.6 Flash, and CodeMender using these models are offered with introductory pricing of $0.75 / $3.75 per 1M tokens input / output through December 31, 2026. Starting January 1, 2
  • Global | $0.375 | $0.375 | $0.0375 | $0.0375
  • Global | $1.35 | $1.35 | $0.135 | $0.135
删除 10 行
  • $0.000001 / 1 hour |
  • $2.50 / 1M tokens |
  • 50% Promotional Credits on Gemini 3.6 Flash & Gemini 3.7 Flash Provisioned Throughput Usage
  • Effective August 13, 2026 through December 31, 2026, Google Cloud is injecting a monthly billing credit equal to 50% of net eligible Provisioned Throughput spending on Gemini 3.6 Flash and Gemini 3.7 Flash models.
  • Gemini 3.7 Flash, Gemini 3.6 Flash, and CodeMender using these models are offered with introductory pricing of $0.75 / $3.75 per 1M tokens input / output through December 31, 2026. Starting January 1, 2027, standard pric
  • Global | $3.00 | $3.00 |
  • Global | - |
  • Image output*** | - |
Google Vertex AI博客+2 / -3来源 ↗
By Nick Galloway • 3-minute read
新增 2 行
  • By Nick Galloway • 3-minute read
  • Getting started with Mantis, our open-source bug finding-and-fixing harness
删除 3 行
  • 10 questions every startup should answer before moving to production with their AI prototype
  • By Sergio Villani • 19-minute read
  • Developers & Practitioners
Cohere定价+3 / -3来源 ↗
$4,300Pricing | Secure and Scalable Enterprise AI | Cohere
新增 3 行
  • $4,300Pricing | Secure and Scalable Enterprise AI | Cohere
  • Retrieval optimization model
  • Semantic representation model
删除 3 行
  • Pricing | Secure and Scalable Enterprise AI | Cohere
  • Search and discovery model
  • Semantic search ranking
Cohere博客+9 / -8来源 ↗
13 min read
新增 9 行
  • 13 min read
  • Automation’s Early Footprint
  • Enterprise AIFor Business
  • How small AI models can make a big impact for enterprises
  • Retrieval optimization model
  • Semantic representation model
  • Sep 02, 2026
  • Sep 03, 2026
  • Where AI Agents Are (and Aren’t) Being Built
删除 8 行
  • A high-throughput vision parsing model with the strongest price-performance profile on the market.
  • Cohere triples UK footprint with new London office to support R&D growth
  • Jun 15, 2026
  • Jun 17, 2026
  • LLM Serving Fairness: No more noisy neighbors
  • Product LaunchCompany NewsEnterprise AI
  • Search and discovery model
  • Semantic search ranking
xAI模型列表+1 / -0来源 ↗
Imagine Image Quality Retirement on Nov 2
新增 1 行
  • Imagine Image Quality Retirement on Nov 2
xAI定价+1 / -0来源 ↗
Imagine Image Quality Retirement on Nov 2
新增 1 行
  • Imagine Image Quality Retirement on Nov 2
HuggingFace行业数据+47 / -47来源 ↗
"_id": "66d0dccb3866d4d3087d3a9f",
新增 30 行
  • "_id": "66d0dccb3866d4d3087d3a9f",
  • "base_model:finetune:runwayml/stable-diffusion-v1-5",
  • "base_model:runwayml/stable-diffusion-v1-5",
  • "createdAt": "2024-08-29T20:40:43.000Z",
  • "downloads": 13752170,
  • "downloads": 14071683,
  • "downloads": 15479400,
  • "downloads": 15943256,
  • "downloads": 17428712,
  • "downloads": 17577877,
  • "downloads": 19936700,
  • "downloads": 21062407,
  • "downloads": 21189593,
  • "downloads": 21444854,
  • "downloads": 22647932,
删除 10 行
  • "_id": "680da79d48c19d19cf82ab5e",
  • "arxiv:2309.00071",
  • "base_model:Qwen/Qwen3-8B-Base",
  • "base_model:finetune:Qwen/Qwen3-8B-Base",
  • "createdAt": "2025-04-27T03:42:21.000Z",
  • "downloads": 13632574,
  • "downloads": 14290101,
  • "downloads": 15306387,
Artificial Analysis行业数据+45 / -44来源 ↗
11 of 314 models
新增 30 行
  • 11 of 314 models
  • 11 of 476 releases
  • 14 of 59 model creators
  • 14 of 68 models
  • 15 of 159 models
  • 22 of 94 models
  • 26 of 238 models
  • 26 of 26 models
  • 26 of 514 models
  • 27 of 643 models
  • 9 of 30 models
  • All reasoning and effort variants of each selected release · Weighted average cost (USD) per Artificial Analysis Intelligence Index task
  • AnthropicMetaOpenAISpaceXAIKimiZ AIGoogleAlibabaDeepSeekMBZUAI Institute of Foundation ModelsMiniMaxThinking MachinesMistralCohere
  • AnthropicMetaOpenAISpaceXAIKimiZ AIGoogleDeepSeekNVIDIAOther Models
  • Arena Elo: average Elo rating of the model · Higher is better
删除 10 行
  • 11 of 30 models
  • 13 of 314 models
  • 13 of 59 model creators
  • 15 of 158 models
  • 15 of 62 models
  • 23 of 87 models
  • 25 of 226 models
  • 25 of 25 models
LMArena行业数据+20 / -19来源 ↗
4Bytedancedreamina-seedance-2.5-720p1478±10
新增 20 行
  • 4Bytedancedreamina-seedance-2.5-720p1478±10
  • 5Bytedancedreamina-seedance-2.0-720p1477±8
  • 693/693 | Overall
  • claude-fable-5.1-max |
  • claude-fable-5.1-max1504±11
  • claude-fable-5.1-max1765+23/-23
  • claude-fable-51507±5
  • claude-opus-5-high1493±5
  • claude-opus-5-high1661+7/-7
  • flux-3-video-202608111449±6
  • gemini-3.8-flash-high |
  • gemini-3.8-flash-high1494
  • gemini-omni-flash1462±6
  • grok-imagine-video-1.5-720p1456±5
  • hy4-preview1626
删除 10 行
  • 3Bytedancedreamina-seedance-2.5-720p1483±12
  • 4Bytedancedreamina-seedance-2.0-720p1477±8
  • 692/692 | Overall
  • claude-fable-51508±5
  • claude-opus-5-high1492±5
  • claude-opus-5-high1661+8/-8
  • flux-3-video-202608111447±6
  • gemini-3.7-flash-high1491
⚠ 6 个信源抓取失败
  • 火山方舟 · 模型列表 — 提取后内容过短 (raw_len=11071)
  • 腾讯混元/TokenHub · 模型列表 — 提取后内容过短 (raw_len=29182)
  • 腾讯混元/TokenHub · 定价 — 提取后内容过短 (raw_len=29182)
  • 腾讯混元/TokenHub · 更新日志 — 提取后内容过短 (raw_len=29182)
  • 腾讯混元/TokenHub · 博客 — 提取后内容过短 (raw_len=29182)
  • OpenAI · 博客 — 提取后内容过短 (raw_len=9951)
2

2026-09-02

成功 57变化 0失败 10共 67 个信源
当日无变化（57 个信源首次抓取建立基线）
⚠ 10 个信源抓取失败
  • 腾讯混元/TokenHub · 模型列表 — 提取后内容过短 (raw_len=29182)
  • 腾讯混元/TokenHub · 定价 — 提取后内容过短 (raw_len=29182)
  • 腾讯混元/TokenHub · 更新日志 — 提取后内容过短 (raw_len=29182)
  • 腾讯混元/TokenHub · 博客 — 提取后内容过短 (raw_len=29182)
  • OpenAI · 博客 — 提取后内容过短 (raw_len=9951)
  • Google Gemini API · 模型列表 — curl 返回空 (stderr: )
  • Google Gemini API · 定价 — curl 返回空 (stderr: )
  • Google Gemini API · 更新日志 — curl 返回空 (stderr: )
  • xAI · 更新日志 — 提取后内容过短 (raw_len=1383)
  • xAI · 博客 — 提取后内容过短 (raw_len=1383)

数据由 fetch_sources.py 每日自动抓取生成 · 最近同步: 2026-09-04 06:53:56 · 完整历史快照见仓库 data/ 目录